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RENET2: high-performance full-text gene–disease relation extraction with iterative training data expansion
Relation extraction (RE) is a fundamental task for extracting gene–disease associations from biomedical text. Many state-of-the-art tools have limited capacity, as they can extract gene–disease associations only from single sentences or abstract texts. A few studies have explored extracting gene–dis...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8256824/ https://www.ncbi.nlm.nih.gov/pubmed/34235433 http://dx.doi.org/10.1093/nargab/lqab062 |